最近做的一个项目中要实现一个对学术论文库实现关键词搜索功能。现卖现学 ，在网上看了半天的Lucene.net资料，写了一个Demo，效果还可以。本Demo采 用了Lucene.net2.0,中文分词器版本1.3.2.2,数据库SQL Sever 2000
1.程序流程:
(1)打开数据库；
(2)对每个字段建立索引；
(3)根据索引进行全文搜索；
2.Article表结构
[字段名称] [字段类型] [备注]
id int 编号
title Varchar(100) 标题
content Text 内容
3.Default.aspx文件
<%@ Page Language="C#" AutoEventWireup="true" CodeFile="Default.aspx.cs" Inherits="_Default" %>
<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
<html xmlns="http://www.w3.org/1999/xhtml" >
<head runat="server">
<title>Lucene.net Test</title>
</head>
<body>
<form id="form1" runat="server">
<div>
<asp:TextBox ID="tj" runat="server"></asp:TextBox><asp:Button ID="Search" runat="server" Text="搜索" OnClick="Search_Click"/>
<asp:GridView ID="gview" runat="server">
</asp:GridView>
</div>
</form>
</body>
</html>
4.Default.aspx.cs文件
using System;
using System.Data;
using System.Configuration;
using System.Web;
using System.Web.Security;
using System.Web.UI;
using System.Web.UI.WebControls;
using System.Web.UI.WebControls.WebParts;
using System.Web.UI.HtmlControls;
using System.Data.SqlClient;
using Lucene.Net;
using Lucene.Net.Index;
using Lucene.Net.Documents;
using Lucene.Net.QueryParsers;
using Lucene.Net.Search;
using Lucene.Net.Analysis.Standard;
using Lucene.Net.Analysis.Cn;
public partial class _Default : System.Web.UI.Page
{
public string connstr = "server=.;database=xkCms;uid=sa;pwd=sa";
public SqlConnection mycon;
protected void Page_Load(object sender, EventArgs e)
{
if (!Page.IsPostBack) {
SqlDataReader myred = OpenTable();
IndexWriter writer = CreateIndex(myred);
}
}
public SqlDataReader OpenTable() {
mycon = new SqlConnection(connstr);
mycon.Open();
SqlCommand mycom = new SqlCommand("select id,title,content from XK_Content",mycon);
return mycom.ExecuteReader();
}
//对数据库中的字段建立索引
public IndexWriter CreateIndex(SqlDataReader myred) {
IndexWriter writer = new IndexWriter("D:/index/",new ChineseAnalyzer(),true); //索引的存储位置
try
{
while (myred.Read())
{
Document doc = new Document();
doc.Add(new Field("id", myred["id"].ToString(), Field.Store.YES, Field.Index.UN_TOKENIZED));
doc.Add(new Field("title", myred["title"].ToString(), Field.Store.YES, Field.Index.TOKENIZED));
doc.Add(new Field("content", myred["content"].ToString(), Field.Store.YES, Field.Index.TOKENIZED));
writer.AddDocument(doc);
}
writer.Optimize(); //优化索引
writer.Close();
myred.Close();
}
catch (Exception e) {
Response.Write(e);
myred.Close();
}
return writer;
}
//根据关键词搜索索引
public Hits seacher(String queryString) {
Hits hits = null;
try
{
IndexSearcher mysea = new IndexSearcher("D:/index/");
QueryParser queryParser = new QueryParser("content", new ChineseAnalyzer());
Query query = queryParser.Parse(queryString);
hits = mysea.Search(query);
}
catch (Exception e) {
Response.Write(e);
}
return hits;
}
protected void Search_Click(object sender, EventArgs e)
{
DataRow myrow;
DataTable mytab = new DataTable();
mytab.Columns.Add("id");
mytab.Columns.Add("title");
mytab.Columns.Add("content");
Hits myhit = seacher(this.tj.Text.Trim());
if (myhit != null)
{
for (int i = 0; i < myhit.Length(); i++)
{
Document doc = myhit.Doc(i);
myrow = mytab.NewRow();
myrow[0] = doc.Get("id").ToString();
myrow[1] = doc.Get("title").ToString();
myrow[2] = doc.Get("content").ToString();
mytab.Rows.Add(myrow);
myrow.AcceptChanges();
}
this.gview.DataSource = mytab;
this.gview.DataBind();
}
else {
Response.Write("查询失败!");
}
}
}